Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.9 |
| Last updated | 7 hours ago |
Based on the matches analyzed in Patch 26.9, the top 5 highest win rate champions up to low Diamond are Hwei Bot, Brand Bot, Vel'Koz Bot, Shyvana Jungle, and Katarina Bot. By picking and mastering these champions, you will have a much higher chance of winning games in the current patch. Furthermore, if you're interested in tier list curated by our high elo players, please refer to our low elo and high elo tier lists.
Rank | Role | Champion | Changes | Tier | Win | Pick | Ban | Matches | Counters | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
1 |  |  | — |  Optimal | 55.4% | 0.3% | 1.6% | 2 630 |      | ||
2 | | | — | Optimal | 55.3% | 1.5% | 9.7% | 15 280 |     | ||
3 | |  | — | Optimal | 55.2% | 0.3% | 1.7% | 2 655 |  | ||
4 | |  | — | Optimal | 54.4% | 0.3% | 7.6% | 3 346 |   | ||
5 | |  | — | Optimal | 54.3% | 0.9% | 4.0% | 8 488 |   | ||
6 | |  | — | Optimal | 54.0% | 0.4% | 1.3% | 3 790 |  | ||
7 | |  | — | Optimal | 54.0% | 1.0% | 5.7% | 9 497 |  | ||
8 | |  | — | Optimal | 53.9% | 0.2% | 0.3% | 2 208 | | ||
9 | |  | — | Optimal | 53.8% | 1.2% | 2.2% | 12 036 |  | ||
10 | | | — | Optimal | 53.5% | 11.0% | 5.7% | 109 272 |   | ||
11 | |  | — | Optimal | 53.2% | 1.5% | 0.4% | 14 555 |  | ||
12 | | | — | Optimal | 51.7% | 12.9% | 4.6% | 127 655 | | ||
13 | | | — | Optimal | 51.6% | 16.4% | 8.8% | 162 402 | | ||
14 | | | — | Optimal | 51.4% | 14.3% | 5.4% | 141 149 | | ||
15 | | | — | Optimal | 50.5% | 17.4% | 3.5% | 171 998 | | ||
16 | | | — | Optimal | 50.0% | 21.3% | 32.5% | 210 392 | | ||
17 | | | — |  Great | 52.6% | 1.5% | 0.7% | 15 002 |  | ||
18 | | | — | Great | 51.7% | 3.1% | 0.5% | 30 389 | | ||
19 | | | — | Great | 51.4% | 5.1% | 6.7% | 50 090 | | ||
20 | | | — | Great | 51.1% | 6.0% | 12.0% | 59 297 | | ||
21 | | | — | Great | 50.6% | 8.5% | 13.4% | 84 551 |  | ||
22 | | | — |  Good | 51.1% | 2.4% | 1.1% | 23 866 | | ||
23 | |  | — | Good | 50.9% | 0.1% | 0.9% | 1 229 | | ||
24 | |  | — | Good | 50.7% | 1.0% | 23.5% | 9 476 | | ||
25 | | | — | Good | 50.3% | 3.4% | 1.8% | 33 959 | | ||
26 | | | — |  Situational | 50.0% | 3.5% | 1.9% | 34 326 | | ||
27 | | | — | Situational | 48.3% | 14.1% | 2.1% | 139 274 | | ||
28 | |  | — | Situational | 47.6% | 16.5% | 7.1% | 163 518 | | ||
29 | | | — |  Not Good | 48.8% | 4.9% | 1.9% | 48 852 |  | ||
30 | | | — | Not Good | 48.7% | 7.0% | 2.1% | 69 568 | | ||
31 | | | — | Not Good | 48.4% | 1.4% | 0.3% | 13 908 | | ||
32 | | | — | Not Good | 48.1% | 3.4% | 8.0% | 34 017 | | ||
33 | | | — | Not Good | 47.6% | 4.7% | 2.1% | 46 071 | | ||
34 | |  | — | Not Good | 47.5% | 0.7% | 42.0% | 7 218 | | ||
35 | | | — | Not Good | 47.3% | 3.9% | 2.4% | 38 581 | | ||
36 | | | — | Not Good | 47.2% | 2.0% | 0.3% | 19 467 | | ||
37 | |  | — | Not Good | 46.4% | 1.2% | 0.3% | 12 017 | | ||
38 | |  | — | Not Good | 39.5% | 0.2% | 1.6% | 2 315 | | ||